Evidence map›Paper›PMID 26536465›Full record

ArticlePloS one2015

Large-Scale Transcriptome Analysis of Cucumber and Botrytis cinerea during Infection.

Weiwen Kong, Nan Chen, Tingting Liu, Jing Zhu, Jingqi Wang, Xiaoqing He, Yi Jin

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Pan-Genome Analysis ofInternational journal of molecular sciences · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Transcriptional profiling of defense responses toFrontiers in plant science · 2022
    Article
  9. Article
  10. Article
  11. Transcriptome Profiling of Cucumber (International journal of molecular sciences · 2021
    Article
  12. Article
  13. Article
  14. Genomic-Assisted Marker Development Suitable forFrontiers in plant science · 2021
    Article
  15. Article
  16. Journal of fungi (Basel, Switzerland) · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Weiwen KongCollege of Biological Sciences and Technology, P. O. Box 162, Beijing Forestry University, Beijing 100083, China.
Nan ChenCollege of Biological Sciences and Technology, P. O. Box 162, Beijing Forestry University, Beijing 100083, China.
Tingting LiuCollege of Biological Sciences and Technology, P. O. Box 162, Beijing Forestry University, Beijing 100083, China.
Jing ZhuCollege of Biological Sciences and Technology, P. O. Box 162, Beijing Forestry University, Beijing 100083, China.
Jingqi WangCollege of Biological Sciences and Technology, P. O. Box 162, Beijing Forestry University, Beijing 100083, China.
Xiaoqing HeCollege of Biological Sciences and Technology, P. O. Box 162, Beijing Forestry University, Beijing 100083, China.
Yi JinCollege of Biological Sciences and Technology, P. O. Box 162, Beijing Forestry University, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cucumber gray mold caused by Botrytis cinerea is considered one of the most serious cucumber diseases. With the advent of Hi-seq technology, it is possible to study the plant-pathogen interaction at the transcriptome level. To the best of our knowledge, this is the first application of RNA-seq to identify cucumber and B. cinerea differentially expressed genes (DEGs) before and after the plant-pathogen interaction. In total, 248,908,688 raw reads were generated; after removing low-quality reads and those containing adapter and poly-N, 238,341,648 clean reads remained to map the reference genome. There were 3,512 cucumber DEGs and 1,735 B. cinerea DEGs. GO enrichment and KEGG enrichment analysis were performed on these DEGs to study the interaction between cucumber and B. cinerea. To verify the reliability and accuracy of our transcriptome data, 5 cucumber DEGs and 5 B. cinerea DEGs were chosen for RT-PCR verification. This is the first systematic transcriptome analysis of components related to the B. cinerea-cucumber interaction. Functional genes and putative pathways identified herein will increase our understanding of the mechanism of the pathogen-host interaction.

Indexed as

BotrytisComputational BiologyCucumis sativusGene Expression ProfilingGenome, FungalGenome, PlantHost-Pathogen InteractionsPlant DiseasesReal-Time Polymerase Chain Reaction

Identifiers

PMID26536465
PMCPMC4633151

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.